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Pattern classification using support vector machine based on structural magnetic resonance images in Autism Spectrum Disorders (ASD). The classifier is initially ‘trained' on a well-characterized sample of individuals with ASD and controls. Training results in a ‘discrimination map' indicating regions that can be used to discriminate between ASD and controls. This map can then be used to predict group membership of a new test example (for example, ASD or control).
